AI Glossary
Agent orchestration
AI orchestration, multi-agent
Agent orchestration is the coordination of multiple AI agents so they pursue a single goal together — with tasks divided, results handed off, and shared control points.
- Multiple specialized agents instead of one general-purpose one.
- Requires a clear division of tasks and the passing of context.
- Needs oversight: control points and the ability to stop.
A single agent quickly loses effectiveness on complex tasks. Orchestration splits the work across several agents — one plans, another retrieves data, a third writes code — while a coordinating layer enforces the order, passes results along, and merges them into a single answer.
The more agents there are, the greater the risk of cascading errors, so what matters is a clear division of roles, control over how context flows, and points where a human can step in. Well-designed orchestration is predictable, not merely elaborate.
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